Evidence map›Paper›PMID 39425041›Full record

ArticleBMC infectious diseases2024

Rate and predictors of loss to follow-up in HIV care in a low-resource setting: analyzing critical risk periods.

Tamrat Endebu, Girma Taye, Wakgari Deressa

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Article in BMC infectious diseases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Tamrat EndebuSchool of Public Health, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia. seetame2008@gmail.com.
Girma TayeSchool of Public Health, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia.
Wakgari DeressaSchool of Public Health, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPatient loss-to-follow-up (LTFU) in HIV care is a major challenge, especially in low-resource settings. Although the literature has focused on the total rate at which patients disengage from care, it has not sufficiently examined the specific risk periods during which patients are most likely to disengage from care. By addressing this gap, researchers and healthcare providers can develop more targeted interventions to improve patient engagement in HIV care.

methodsWe conducted a retrospective cohort study on newly enrolled adult HIV patients at seven randomly selected high-volume health facilities in Ethiopia from May 2022 to April 2024. Data analysis was performed using SPSS version 26, with a focus on the incidence rate of LTFU during the critical risk periods. Cumulative hazard analysis was used to compare event distributions, whereas a Poisson regression model was used to identify factors predicting LTFU, with statistical significance set at p < 0.05.

resultsThe analysis included 737 individuals newly enrolled in HIV care; 165 participants (22.4%, 95% CI: 19.5-25.2) were LTFU by the end of two years, of which 50.1% occurred within the first 6 months, 29.7% within 7-12 months, and 19.4% from 13 to 24 months on ART. The overall incidence rate of LTFU was 18.3 per 1,000 PMO (95% CI: 15.9-20.6), with rates of 167.7 in the first 6 months, 55.4 in 7-12 months, and 18.1 in 13-24 months. Incomplete addresses lacking a phone number or location information (IRR: 1.61; 95% CI: 1.14, 2.27) and poor adherence (IRR: 1.78; 95% CI: 1.28, 2.48) were factors predicting the incidence rate of LTFU.

conclusionLTFU peaked in the first 6 months, accounting for approximately half of total losses, remained elevated from months 7-12, and stabilized after the first year of HIV care and treatment. Address information and adherence were predictors of LTFU. To effectively minimize LTFU, efforts should focus on intensive support during the first six months of care, followed by sustained efforts and monitoring in the next six months. Our findings highlight a critical period for targeted interventions to reduce LTFU in HIV care.

Indexed as

HIV InfectionsLost to Follow-UpAdultEthiopiaFemaleHumansIncidenceMaleMiddle AgedRetrospective StudiesRisk FactorsYoung AdultHIV careLow-resource settingLTFUPredictorRateRisk period

Identifiers

PMID39425041
PMCPMC11488147

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.